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Record W2943185977 · doi:10.26576/profesi.284

Perencanaan pembelajaran skills lab di STIKES PKU Muhammadiyah Surakarta

2019· article· id· W2943185977 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProfesi (Profesional Islam) Media Publikasi Penelitian · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyHumanitiesNursing sciencePedagogyNursingMedicinePhilosophy

Abstract

fetched live from OpenAlex

Pembelajaran skill lab sangat dibutuhkan untuk meningkatkan kemampuan dan kompetensi keperawatan. Penelitian ini bertujuan menggambarkan bagaimana perencanaa, pembelajaran skills lab di di STIKES PKU Muhammadiyah Surakarta. Penelitian ini merupakan penelitian kualititaf dengan menggunakan pendekatan deskriptif. Pengambilan data dilaksanakan dengan beberapa cara yaitu: Focus group discussion melibatkan 12 mahasiswa keperawatan semester 2; wawancara dengan 7 informan; Observasi pembelajaran skill lab dan studi dokumentasi. Selanjutnya data dianalisis dengan metode analisis kualitatif. Hasil penelitian menunjukkan bahwa perencanaan skill lab keperawatan meliputi sumber daya manusia, kurikulum, fasilitas, mahasiswa dan sosialisasi. Kesimpulan penelitian bahwa perencanaan pembelajaran skills lab telah dilakukan dengan sistematis. Perencanaan pembelajaran skills lab harus selalu dilakukan untuk meningkatkan kualitas pembelajaran dan keterampilan mahasiswa keperawatan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.003
Open science0.0040.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0360.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.285
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it